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Do Spoiled Movie Reviews Affect the Viewers' Amusement? (IH-DA-Project01)

Compared analysis that measured the negative impact on IMDB's movie ratings depending on the quantity of spoiled reviews. We used data cleaning and wrangling techniques on a Kaggle dataset that collected IMDB's spoiled reviews and used an API to extract the ratings for each movie ID matching the dataset. The negative impact resulted inconclusive but we determined further meaningful factors such as release date or genre.

Installation

No installation needed

Execution

Run the Main.ipynb included into the /notebooks directory

Dependences

  • beautifulsoup4 (4.12.3)
  • importlib-metadata (8.5.0)
  • importlib-resources (6.4.5)
  • matplotlib (3.7.5)
  • numpy (1.24.4)
  • pandas (2.0.3)
  • requests (2.32.3)
  • seaborn (0.13.2)

Data sources

  • OMDB RESTful Api - link
  • Kaggle dataset - link

API usage

A limit of 1,000 requests per day applies to the OMDBapi key (included)

Presentation

Presentation slides can be found here

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First project of DA bootcamp

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